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El consumo de drogas y su tratamiento desde la perspectiva de familiares y amigos de consumidores en Bogotá, Colombia

2009· article· es· W2083650260 on OpenAlexaff
Daniel Gonzalo Eslava Albarracín, Bruna Brands, Edward M. Adlaf, Norman Giesbrecht, Laura Simich, Maria da Glória Miotto Wright

Bibliographic record

VenueRevista Latino-Americana de Enfermagem · 2009
Typearticle
Languagees
FieldSocial Sciences
TopicYouth, Drugs, and Violence
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHumanitiesMedicinePhilosophy

Abstract

fetched live from OpenAlex

En este estudio, se presenta el análisis parcial de los resultados de un trabajo cuantitativo, relacionado con la perspectiva que tienen los familiares y amigos de consumidores frente al tratamiento para los problemas derivados del consumo de drogas ilícitas. Participaron 104 usuarios de los servicios de salud de Bogotá, El 58% considera el consumo como una enfermedad que necesita tratamiento. El 56% identifica el hospital general como la principal alternativa para el mismo y, 95% al Estado como el principal responsable de este. Las instituciones privadas son las más conocidas y dentro de estas, las comunidades terapéuticas y los grupos religiosos aparecen como los que más se comprometen con la problemática. Para el 73% los servicios existentes no son suficientes y el acceso a la utilización de los mismos es difícil. El estigma es la principal barrera para solicitar la atención, solo el 50% considera que los tratamientos son útiles. Es necesaria una mayor difusión de los recursos existentes, para aumentar su demanda y utilización.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score0.810

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.352
Teacher spread0.335 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueRevista Latino-Americana de EnfermagemSame topicYouth, Drugs, and ViolenceFrench-language works237,207